Framework of Knowledge-Based System for United Nations Peacekeeping Operations Using Data Mining Technique

This paper presents the framework of “Knowledge-Based System” to assist the Malaysian United Nations Military Observers (UNMO) in conducting the United Nations (UN) peacekeeping operations at the deployment country. Further, a suitable data mining technique (e.g. clustering or association rule mining) will be applied to extract interesting and beneficial knowledge including hidden patterns from various sources related to the peacekeeping mission that is required by UNMO. The proposed system will be integrated into the rugged tablet or any pervasive equipment that is used for the peacekeeping operations. Here, the knowledge-based system can be used to assist the UNMO in decision-making when facing all possible scenarios while conducting the peacekeeping operations.